Resource Type

Journal Article 804

Year

2024 2

2023 64

2022 77

2021 56

2020 46

2019 46

2018 45

2017 50

2016 39

2015 49

2014 30

2013 29

2012 28

2011 13

2010 18

2009 19

2008 32

2007 36

2006 38

2005 13

open ︾

Keywords

genetic algorithm 33

multi-objective optimization 24

optimization 19

algorithm 14

Multi-agent systems 10

Multi-agent system 8

neural network 7

different 6

multi-objective 5

Artificial intelligence 4

Genetic algorithm 4

Machine learning 4

Reinforcement learning 4

artificial neural network 4

robust design 4

Multi-objective optimization 3

meta-heuristic algorithm 3

scanning microwave radiometer 3

3D printing 2

open ︾

Search scope:

排序： Display mode:

DIP-MOEA: a double-grid interactive preference based multi-objective evolutionary algorithm for formalizing Research Article

Luda ZHAO, Bin WANG, Xiaoping JIANG, Yicheng LU, Yihua HU

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 11,   Pages 1714-1732 doi: 10.1631/FITEE.2100508

Abstract:

The final solution set given by almost all existing preference-based multi-objective evolutionaryTherefore, we propose a multi-objective optimization algorithm, referred to as the double-grid interactiveFirst, according to the optimization objective of the practical multi-objective optimization problemsthe populations in these two grids are combined with the DMs’ information, and the preference multi-objectivefunctions and the multi-objective knapsack problems, and compare it with several different popular preference-based

Keywords： Multi-objective evolutionary algorithm (MOEA)     Formalizing preference of decision makers     Population    

HTML PDF Collect

Evolutionary Algorithms for Multi-objective Optimization and Decision-Making Problems

Xie Tao Chen Huowang

Strategic Study of CAE 2002, Volume 4, Issue 2,   Pages 59-68

Abstract:

Multi-objective optimization (MOO) and decision-making (DM) has become an important research areaof evolutionary computations in recent years.The researches on multi-objective evolutionary algorithms (MOEA) focus mainly on the Pareto-based comparisonThis paper presents an introduction to the history and classification of multi-objective optimizationconvergence analysis, the MOEA parallelization, and the disposal of real world MOO problems.

Keywords： evolutionary algorithms     multi-objective optimization and decision-making     Pareto optimal    

HTML PDF Collect

Optimization of multi-objective integrated process planning and scheduling problem using a priority basedoptimization algorithm

Muhammad Farhan AUSAF,Liang GAO,Xinyu LI

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 4,   Pages 392-404 doi: 10.1007/s11465-015-0353-y

Abstract: been limited to solving the integrated process planning and scheduling (IPPS) problem for a single objectiveTherefore considering multi-objective IPPS (MOIPPS) problem is inevitable.In this paper, an optimization algorithm for solving MOIPPS problem is presented.The proposed algorithm uses a set of dispatching rules coupled with priority assignment to optimize theInstances from four recent papers have been solved to demonstrate the effectiveness of the proposed algorithm

Keywords： integrated process planning and scheduling (IPPS)     dispatching rules     priority based optimization algorithm     multi-objective optimization    

HTML PDF Collect

A new technique for solving the multi-objective optimization problem using hybrid approach

Mimoun YOUNES,Khodja FOUAD,Belabbes BAGDAD

Frontiers in Energy 2014, Volume 8, Issue 4,   Pages 490-503 doi: 10.1007/s11708-014-0311-0

Abstract: The economic power dispatch problem has, therefore, become a multi-objective optimization problem.To achieve a good design with different solutions in a multi-objective optimization problem, fuel costIn this paper the new approach (firefly algorithm-real genetic algorithm, FFA-RGA) has been applied toThe effectiveness of the proposed approach is demonstrated by comparing its performance with other evolutionarymulti-objective optimization algorithms.

Keywords： economic power dispatch (EPD)     firefly algorithm (FFA)     real genetic algorithm (RGA)     hybrid method    

HTML PDF Collect

Hybrid genetic algorithm for bi-objective resource-constrained project scheduling

Fikri KUCUKSAYACIGIL, Gündüz ULUSOY

Frontiers of Engineering Management 2020, Volume 7, Issue 3,   Pages 426-446 doi: 10.1007/s42524-020-0100-x

Abstract: In this study, we considered a bi-objective, multi-project, multi-mode resource-constrained project schedulingWe adopted three objective pairs as combinations of the net present value (NPV) as a financial performanceWe developed a hybrid non-dominated sorting genetic algorithm II (hybrid-NSGA-II) as a solution methodThe BFP and injection procedures led to improved objective functional values.Solutions were obtained for the objective pairs using hybrid-NSGA-II and three different test problem

Keywords： backward–forward scheduling     hybrid bi-objective genetic algorithm     injection procedure     maximum cash balance     multi-objective multi-project multi-mode resource-constrained project scheduling problem    

HTML PDF Collect

Multi-objective optimal design of braced frames using hybrid genetic and ant colony optimization

Mehdi BABAEI,Ebrahim SANAEI

Frontiers of Structural and Civil Engineering 2016, Volume 10, Issue 4,   Pages 472-480 doi: 10.1007/s11709-016-0368-4

Abstract: In this article, multi-objective optimization of braced frames is investigated using a novel hybrid algorithmInitially, the applied evolutionary algorithms, ant colony optimization (ACO) and genetic algorithm (The hybrid algorithm explores the whole design space for optimum solutions.Weight and maximum displacement of the structure are employed as the objective functions for multi-objectiveobjective optimization problem and the proposed hybrid genetic ant colony algorithm (HGAC) is developed

Keywords： multi-objective     hybrid algorithm     ant colony     genetic algorithm     displacement     weighted sum method     steel    

HTML PDF Collect

Multi-objective optimization of combustion, performance and emission parameters in a jatropha biodieselengine using Non-dominated sorting genetic algorithm-II

Sunil Dhingra,Gian Bhushan,Kashyap Kumar Dubey

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 1,   Pages 81-94 doi: 10.1007/s11465-014-0287-9

Abstract: As the objective is to maximize BTE and minimize BSFC, Pmax, CO, NOx, HC, smoke, a multi-objective optimization problem is formulated.Non-dominated sorting genetic algorithm-II is used in predicting the Pareto optimal sets of solution.

Keywords： jatropha biodiesel     fuel properties     response surface methodology     multi-objective optimization     non-dominatedsorting genetic algorithm-II    

HTML PDF Collect

A multi-objective design method for seismic retrofitting of existing reinforced concrete frames using

Yue CHEN; Rong XU; Hao WU; Tao SHENG

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 9,   Pages 1089-1103 doi: 10.1007/s11709-022-0851-z

Abstract: design method has been exploited for seismic retrofitting of existing RFs using PWs (RF-PWs) via a multi-objectiveevolutionary algorithm.Finally, a parametric analysis was executed to exhibit the strengths and working mechanism of the multi-objective

Keywords： rocking wall     reinforced concrete frame     seismic retrofit     stiffness demand     drift concentration factor     multi-objectivedesign     genetic algorithm     Pareto optimal solution    

HTML PDF Collect

Multi-objective optimization of molten carbonate fuel cell system for reducing CO

Ramin ROSHANDEL,Majid ASTANEH,Farzin GOLZAR

Frontiers in Energy 2015, Volume 9, Issue 1,   Pages 106-114 doi: 10.1007/s11708-014-0341-7

Abstract: By applying multi-objective optimization (MOO) using the genetic algorithm, the optimal values of operatingload and the corresponding values of objective functions are obtained.Objective functions are minimization of the cost of electricity (COE) and minimization of CO emissionCO tax that is accounted as the pollution-related cost, transforming the environmental objective to

Keywords： molten carbonate fuel cell (MCFC)     multi-objective optimization (MOO)     Pareto curve     genetic algorithm     CO    

HTML PDF Collect

Uncertain and multi-objective programming models for crop planting structure optimization

Mo LI,Ping GUO,Liudong ZHANG,Chenglong ZHANG

Frontiers of Agricultural Science and Engineering 2016, Volume 3, Issue 1,   Pages 34-45 doi: 10.15302/J-FASE-2016084

Abstract: In this study, three single-objective programming models under uncertainty for crop planting structuresustainable development of crop planting structure planning, a fuzzy-optimization-theory-based fuzzy linear multi-objectiveprogramming model was developed, which is capable of reflecting both uncertainties and multi-objectiveIn addition, a multi-objective fractional programming model for crop structure optimization was alsodeveloped to quantitatively express the multi-objective in one optimization model with the numerator

Keywords： crop planting structure     optimization model     uncertainty     multi-objective    

HTML PDF Collect

Build orientation determination of multi-feature mechanical parts in selective laser melting via multi-objective

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 2, doi: 10.1007/s11465-022-0737-8

Abstract: This study proposes a method to determine the build orientation of multi-feature mechanical parts (MFMPsobjectives are established, and a set of alternative build orientations (ABOs) is further obtained by many-objectiveLastly, a multi-objective decision making method integrated by the technique for order of preference

Keywords： selective laser melting (SLM)     build orientation determination     multi-feature mechanical part (MFMP)     fuzzy analytical hierarchy process     multi-objective decision making (MODM)    

HTML PDF Collect

Multi-objective particle swarm cooperative optimization algorithm for state parameters

Ding Lei,Wu Min,She Jinhua,Duan Ping

Strategic Study of CAE 2010, Volume 12, Issue 2,   Pages 101-107

Abstract: computing of synthetic permeability and burn-through point in the lead-zinc sintering process, an efficient multi-objectiveFirstly, the multi-objective optimization model for burn-through point and synthetic permeability isSecondly, an improved multi-objective particle swarm cooperative optimization algorithm is presentedFinally, the proposed multi-objective optimization algorithm is applied to optimize the synthetic permeabilityThe simulation results show that the proposed multi-objective optimization algorithm effectively solves

Keywords： lead-zinc sintering process     synthetic permeability     burn-through point     multi-objective particle swarmcooperative optimization algorithm    

HTML PDF Collect

Fatigue and impact analysis and multi-objective optimization design of Mg/Al assembled wheel considering

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-022-0701-7

Abstract: The multi-material assembled light alloy wheel presents an effective lightweight solution for new energyvariables, and the fatigue and impact performance of the assembled wheel was defined as the optimization objectiveThe connection-performance integration multi-objective optimization design of the assembled wheel considering

Keywords： magnesium/aluminum assembled wheel     riveting residual stress     fatigue analysis     impact analysis     multi-objective    

HTML PDF Collect

Multi-objective optimization in a finite time thermodynamic method for dish-Stirling by branch and boundmethod and MOPSO algorithm

Mohammad Reza NAZEMZADEGAN, Alibakhsh KASAEIAN, Somayeh TOGHYANI, Mohammad Hossein AHMADI, R. SAIDUR, Tingzhen MING

Frontiers in Energy 2020, Volume 14, Issue 3,   Pages 649-665 doi: 10.1007/s11708-018-0548-0

Abstract: In addition to the four-objective optimization, three-objective, two-objective, and single-objectiveThe algorithm of multi-objective particle swarm optimization (MOPSO) with post-expression of preferencesis used for multi-objective optimizations while the branch and bound algorithm with pre-expression ofpreferences is used for single-objective and multi-objective optimizations.In the case of multi-objective optimizations with post-expression of preferences, Pareto optimal front

Keywords： dish-Stirling     finite time model     branch and bound algorithm     multi-objective particle swarm optimization    

HTML PDF Collect

Solving multi-objective optimal power flow problem considering wind-STATCOM using differential evolution

Belkacem MAHDAD, K. SRAIRI

Frontiers in Energy 2013, Volume 7, Issue 1,   Pages 75-89 doi: 10.1007/s11708-012-0222-x

Abstract: this paper, a simple strategy based differential evolution was proposed for solving the problem of multi-objectiveThe DE algorithm optimized simultaneously a combined vector control based active power of wind sourcesand reactive power of multi STATCOM exchanged with the electrical power system to minimize fuel costwith smooth cost function to solve the problem of security environmental economic dispatch considering multiSimulation results demonstrate that choosing the installation of multi type of FACTS devices in coordination

Keywords： differential evolution     multi-objective function     optimal power flow     economic dispatch     valve point effect    

HTML PDF Collect

Title Author Date Type Operation

DIP-MOEA: a double-grid interactive preference based multi-objective evolutionary algorithm for formalizing

Luda ZHAO, Bin WANG, Xiaoping JIANG, Yicheng LU, Yihua HU

Journal Article

Evolutionary Algorithms for Multi-objective Optimization and Decision-Making Problems

Xie Tao Chen Huowang

Journal Article

Optimization of multi-objective integrated process planning and scheduling problem using a priority basedoptimization algorithm

Muhammad Farhan AUSAF,Liang GAO,Xinyu LI

Journal Article

A new technique for solving the multi-objective optimization problem using hybrid approach

Mimoun YOUNES,Khodja FOUAD,Belabbes BAGDAD

Journal Article

Hybrid genetic algorithm for bi-objective resource-constrained project scheduling

Fikri KUCUKSAYACIGIL, Gündüz ULUSOY

Journal Article

Multi-objective optimal design of braced frames using hybrid genetic and ant colony optimization

Mehdi BABAEI,Ebrahim SANAEI

Journal Article

Multi-objective optimization of combustion, performance and emission parameters in a jatropha biodieselengine using Non-dominated sorting genetic algorithm-II

Sunil Dhingra,Gian Bhushan,Kashyap Kumar Dubey

Journal Article

A multi-objective design method for seismic retrofitting of existing reinforced concrete frames using

Yue CHEN; Rong XU; Hao WU; Tao SHENG

Journal Article

Multi-objective optimization of molten carbonate fuel cell system for reducing CO

Ramin ROSHANDEL,Majid ASTANEH,Farzin GOLZAR

Journal Article

Uncertain and multi-objective programming models for crop planting structure optimization

Mo LI,Ping GUO,Liudong ZHANG,Chenglong ZHANG

Journal Article

Build orientation determination of multi-feature mechanical parts in selective laser melting via multi-objective

Journal Article

Multi-objective particle swarm cooperative optimization algorithm for state parameters

Ding Lei,Wu Min,She Jinhua,Duan Ping

Journal Article

Fatigue and impact analysis and multi-objective optimization design of Mg/Al assembled wheel considering

Journal Article

Multi-objective optimization in a finite time thermodynamic method for dish-Stirling by branch and boundmethod and MOPSO algorithm

Mohammad Reza NAZEMZADEGAN, Alibakhsh KASAEIAN, Somayeh TOGHYANI, Mohammad Hossein AHMADI, R. SAIDUR, Tingzhen MING

Journal Article

Solving multi-objective optimal power flow problem considering wind-STATCOM using differential evolution

Belkacem MAHDAD, K. SRAIRI

Journal Article